Labellerr
UnclaimedAccelerate AI model development with high-quality, automated data labeling and annotation for various data types.
Visit WebsiteTL;DR - Labellerr
- Provides automated and model-assisted data labeling for various data types.
- Accelerates AI model development with high-quality, 99% accurate labels.
- Offers robust project management, advanced analytics, and MLOps integration.
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms
Pros & Cons
Pros
- Significantly reduces time and cost for data preparation and AI model development.
- Achieves high accuracy (99%) in data labeling.
- Supports a broad range of data types and annotation techniques.
- Offers robust security and flexible hosting options.
- Provides comprehensive project management and analytics for quality control.
Cons
- Specific details on the extent of customization for custom export formats are not explicitly detailed.
- The free plan has limitations on data credits and seats, suitable mainly for researchers or small projects.
- Advanced features like IP Whitelisting and Whitelabeling are only available in the Enterprise plan.
Ratings Across the Web
4.7(38 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Automated Labeling (Prompt-based, Model-assisted, Active Learning)Support for multiple data types (images, videos, PDFs, text, audio)Smart Quality Assurance (pre-trained model and ground truth based)MLOps Integration (GCP Vertex AI, AWS Sagemaker, custom environments)Project Management with Advanced AnalyticsEnterprise-Grade Security & Privacy (Auth0, TLSv1.2+, AES-256 encryption)Flexible Data Export Formats (CSV, JSON, COCO, Pascal VOC, Custom)API Access with SDK
Pricing Plans
Researcher Plan
Free
- 2,500 files
- 1 seat
- 1 workspace
- All data type support
- 100 projects
Pro Plan
$499/mo
- Everything in Free, plus:
- 50,000 data credits with the option to buy extra credits
- 10 seats and the option to add on extra seats
- Unlimited projects
- Advanced automation features (SAM, SAM 2, Active learning, and model-assisted labeling)
- Human in the loop services
Enterprise Plan
Custom
- Everything in Team, plus:
- Multiple workspaces
- Unlimited data credits and seats
- Single sign-on (SSO)
- Enterprise SLA & support
- Private cloud & on-premise
About Labellerr
By Toolradar Team·
Labellerr is a comprehensive data labeling and image annotation software designed to help AI teams prepare high-quality datasets efficiently. It leverages automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of video in weeks, significantly reducing the time and cost associated with data preparation for AI models.
The platform supports a wide range of data types including images, videos, PDFs, text, and audio, and integrates seamlessly with cloud services like AWS, GCP, and Azure. Labellerr offers features such as prompt-based labeling, model-assisted labeling, active learning, and robust project management with advanced analytics, ensuring 99% accurate labels and a 90% reduction in data preparation time. It also provides enterprise-grade security, MLOps integration, and flexible export formats to streamline the entire AI development pipeline.
Reviews
No reviews yet. Be the first to review Labellerr!
Best Labellerr Alternatives
Top alternatives based on features, pricing, and user needs.
Label StudioFree
The most flexible open-source data labeling platform for AI models and LLM fine-tuning.
Google Vertex AIPaid
Unified AI platform for ML development
Landing AIFreemium
Transform unstructured documents and images into actionable intelligence with Visual AI.
LabelboxFreemium
The data factory for AI teams building at the frontier, from reinforcement learning to custom evaluations.
BasicAIPaid
Accelerate AI development with high-quality data annotation services and a powerful labeling platform.
Explore More
Labellerr FAQ
What types of data can be labeled using Labellerr?
Labellerr supports a wide array of data types including images, videos, PDFs, text, and audio, allowing users to manage diverse project needs within a single platform.
How does Labellerr ensure the quality and accuracy of labels?
Labellerr employs a combination of automated annotation, advanced analytics, and smart QA processes, including pre-trained model-based and ground truth-based quality assurance, to achieve up to 99% accurate labels.
Can Labellerr integrate with existing cloud infrastructure and MLOps pipelines?
Yes, Labellerr allows users to connect datasets from cloud services like AWS, GCP, and Azure, and offers extensive integration support to push labeled data to AI development environments such as GCP Vertex AI, AWS Sagemaker, or custom-made systems.
What security measures does Labellerr implement to protect customer data?
Labellerr prioritizes data protection with enterprise-grade security. It uses Auth0 for authentication, TLSv1.2+ for data in transit, AES-256 encryption for all data at rest, and offers customer hosting options on preferred cloud platforms.
What are the options for exporting annotated data from Labellerr?
Annotated data can be exported in various formats with a single click, including CSV, JSON, COCO, Pascal VOC, and custom formats to fit specific project requirements.
Source: labellerr.com